• Title/Summary/Keyword: dynamic image

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Multi-task Architecture for Singe Image Dynamic Blur Restoration and Motion Estimation (단일 영상 비균일 블러 제거를 위한 다중 학습 구조)

  • Jung, Hyungjoo;Jang, Hyunsung;Ha, Namkoo;Yeon, Yoonmo;Kwon, Ku yong;Sohn, Kwanghoon
    • Journal of Korea Multimedia Society
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    • v.22 no.10
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    • pp.1149-1159
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    • 2019
  • We present a novel deep learning architecture for obtaining a latent image from a single blurry image, which contains dynamic motion blurs through object/camera movements. The proposed architecture consists of two sub-modules: blur image restoration and optical flow estimation. The tasks are highly related in that object/camera movements make cause blurry artifacts, whereas they are estimated through optical flow. The ablation study demonstrates that training multi-task architecture simultaneously improves both tasks compared to handling them separately. Objective and subjective evaluations show that our method outperforms the state-of-the-arts deep learning based techniques.

Construction of Dynamic Image Animation Network for Style Transformation Using GAN, Keypoint and Local Affine (GAN 및 키포인트와 로컬 아핀 변환을 이용한 스타일 변환 동적인 이미지 애니메이션 네트워크 구축)

  • Jang, Jun-Bo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.05a
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    • pp.497-500
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    • 2022
  • High-quality images and videos are being generated as technologies for deep learning-based image style translation and conversion of static images into dynamic images have developed. However, it takes a lot of time and resources to manually transform images, as well as professional knowledge due to the difficulty of natural image transformation. Therefore, in this paper, we study natural style mixing through a style conversion network using GAN and natural dynamic image generation using the First Order Motion Model network (FOMM).

An Experimental Analysis of High Dynamic Range Algorithm for Image Signal Processor (Image Signal Processor 를 위한 High Dynamic Range Algorithm 성능 분석 연구)

  • Chan-Hwi Lim;Seok-In Hong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2024.05a
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    • pp.18-19
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    • 2024
  • High Dynamic Range 는 디지털 카메라에 내장된 영상 보정 장치인 Image Signal Processor 의 주요 기능 중 하나로서, 영상의 밝고 어두운 정도의 범위를 넓혀, 피사체가 더 또렷하게 보이도록 한다. 초당 수십 프레임을 촬영하는 경우, 실시간 보정처리를 위해 ISP 에 사용되는 기능 및 알고리즘은 신속성과 효율성이 요구된다. 본 연구는 ISP 에 적합한 HDR 알고리즘을 선정을 목표로 하여, Histogram Equalization 과 Contrast Limited Adaptive Histogram Equalization 을 소개한다. 이어 해당 알고리즘들을 컴퓨터 프로그래밍으로 구현, CMOS 이미지 센서를 통해 추출한 raw image 를 보정하여 각 알고리즘의 성능을 검토하였다.

Dynamic PCA algorithm for Detecting Types of Electric Poles (전신주의 종류 판별을 위한 동적 PCA 알고리즘)

  • Choi, Jae-Young;Lee, Jang-Myung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.3
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    • pp.651-656
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    • 2010
  • This paper proposes a new dynamic PCA algorithm to recognize types of electric poles, which is necessary for a mobile robot moving along the neutral line for inspecting high-voltage facilities. Since the mobile robot needs to pass over the electric poles and grasp the neutral wire again for the next region inspection, the detection of the electric pole type is a critical factor for the successful passing-over the electric pole. The CCD camera installed on the mobile robot captures the image of the electric pole while it is approaching to the electric pole. Applying the dynamic PCA algorithm to the CCD image, the electric pole type has been classified to provide the stable grasping operation for the mobile robot. The new dynamic PCA algorithm replaces the reference image in real time to improve the robustness of the PCA algorithm, adjusts the brightness to get the clear images, and applies the Laplacian edge detection algorithm to increase the recognition rate of electric pole type. Through the real experiments, the effectiveness of this proposed dynamic PCA algorithm method using Laplacian edge detecting method has been demonstrated, which improves the recognition rate about 20% comparing to the conventional PCA algorithm.

Effectual Method FOR 3D Rebuilding From Diverse Images

  • Leung, Carlos Wai Yin;Hons, B.E.
    • 한국정보컨버전스학회:학술대회논문집
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    • 2008.06a
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    • pp.145-150
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    • 2008
  • This thesis explores the problem of reconstructing a three-dimensional(3D) scene given a set of images or image sequences of the scene. It describes efficient methods for the 3D reconstruction of static and dynamic scenes from stereo images, stereo image sequences, and images captured from multiple viewpoints. Novel methods for image-based and volumetric modelling approaches to 3D reconstruction are presented, with an emphasis on the development of efficient algorithm which produce high quality and accurate reconstructions. For image-based 3D reconstruction a novel energy minimisation scheme, Iterated Dynamic Programming, is presented for the efficient computation of strong local minima of discontinuity preserving energyy functions. Coupled with a novel morphological decomposition method and subregioning schemes for the efficient computation of a narrowband matching cost volume. the minimisation framework is applied to solve problems in stereo matching, stereo-temporal reconstruction, motion estimation, 2D image registration and 3D image registration. This thesis establishes Iterated Dynamic Programming as an efficient and effective energy minimisation scheme suitable for computer vision problems which involve finding correspondences across images. For 3D reconstruction from multiple view images with arbitrary camera placement, a novel volumetric modelling technique, Embedded Voxel Colouring, is presented that efficiently embeds all reconstructions of a 3D scene into a single output in a single scan of the volumetric space under exact visibility. An adaptive thresholding framework is also introduced for the computation of the optimal set of thresholds to obtain high quality 3D reconstructions. This thesis establishes the Embedded Voxel Colouring framework as a fast, efficient and effective method for 3D reconstruction from multiple view images.

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Adaptive Image Enhancement in the DCT Compression Domain Using Retinex Theory (Retinex 이론을 이용한 DCT 압축 영역에서의 적응 영상 향상)

  • Jeon, Seon-Dong;Kim, Sang-Hee
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.913-914
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    • 2008
  • This paper presents a method of adaptive image enhancement with dynamic range compression and contrast enhancement. The dynamic range compression is to adaptively enhance the dark area using illumination component of DCT compression block. The contrast enhancement is to modify the image contrast using retinex theory that uses the HVS properties. The block artifacts and other noises, caused by processing in the compression domain, were removed by after processing.

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Multi-point Dynamic Displacement Measurements of Structures Using Digital Image Correlation Technique (Digital Image Correlation기법을 이용한 구조물의 다중 동적변위응답 측정)

  • Kim, Sung-Wan;Kim, Nam-Sik
    • Journal of the Earthquake Engineering Society of Korea
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    • v.13 no.3
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    • pp.11-19
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    • 2009
  • Recently, concerns relating to the maintenance of large structures have been increased. In addition, the number of large structures that need to be evaluated for their structural safety due to natural disasters and structural deterioration has been rapidly increasing. It is common for the structural characteristics of an older large structure to differ from the characteristics in the initial design stage, and changes in dynamic characteristics may result from a reduction in stiffness due to cracks on the materials. The process of deterioration of such structures enables the detection of damaged locations, as well as a quantitative evaluation. One of the typical measuring instruments used for the monitoring of bridges and buildings is the dynamic measurement system. Conventional dynamic measurement systems require considerable cabling to facilitate a direct connection between sensor and DAQ logger. For this reason, a method of measuring structural responses from a remote distance without the mounted sensors is needed. In terms of non-contact methods that are applicable to dynamic response measurement, the methods using the doppler effect of a laser or a GPS are commonly used. However, such methods could not be generally applied to bridge structures because of their costs and inaccuracies. Alternatively, a method using a visual image can be economical as well as feasible for measuring vibration signals of inaccessible bridge structures and extracting their dynamic characteristics. Many studies have been conducted using camera visual signals instead of conventional mounted sensors. However, these studies have been focused on measuring displacement response by an image processing technique after recording a position of the target mounted on the structure, in which the number of measurement targets may be limited. Therefore, in this study, a model experiment was carried out to verify the measurement algorithm for measuring multi-point displacement responses by using a DIC (Digital Image Correlation) technique.

Ghost-free High Dynamic Range Imaging Based on Brightness Bitmap and Hue-angle Constancy (밝기 비트맵과 색도 일관성을 이용한 무 잔상 High Dynamic Range 영상 생성)

  • Yuan, Xi;Ha, Ho-Gun;Lee, Cheol-Hee;Ha, Yeong-Ho
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.1
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    • pp.111-120
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    • 2015
  • HDR(High dynamic range) imaging is a technique to represent a dynamic range of real world. Exposure fusion is a method to obtain a pseudo-HDR image and it directly fuses multi-exposure images instead of generating the true-HDR image. However, it results ghost artifacts while fusing the multi-exposure images with moving objects. To solve this drawback, temporal consistency assessment is proposed to remove moving objects. Firstly, multi-level threshold bitmap and brightness bitmap are proposed. In addition, hue-angle constancy map between multi-exposure images is proposed for compensating a bitmap. Then, two bitmaps are combined as a temporal weight map. Spatial domain image quality assessment is used to generate a spatial weight map. Finally, two weight maps are applied at each multi-exposure image and combined to get the pseudo-HDR image. In experiments, the proposed method reduces ghost artifacts more than previous methods. The quantitative ghost-free evaluation of the proposed method is also less than others.

Enhanced High Contrast Image Rendering Method Using Visual Properties for Sharpness Perception (시각 선명도 감각 특성을 이용한 개선된 고명암 대비 영상 렌더링 기법)

  • Lee, Geun-Young;Lee, Sung-Hak;Kwon, Hyuk-Ju;Sohng, Kyu-Ik
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38A no.8
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    • pp.669-679
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    • 2013
  • When an image is converted from HDR (high dynamic range) to LDR (low dynamic range), a tone mapping process is the essential component. Many TMOs (tone mapping operators) have been motivated by human vision which has lower physical luminance range than that in real scene. The representative of human vision properties which motivate TMOs is the local adaptation. However, TMOs are ultimately compressing image information such as contrast, saturation, etc. and the compression causes defects in image quality. In this paper, in order to compensate the degradation of the image which is caused by TMOs, the visual acuity-based edge stop function is proposed for applying the property of human vision to base-detail separation. In addition, using CSF (contrast sensitivity function) which represents the relationship among spatial frequency, contrast sensitivity, and luminance, the sharpness filter is designed and adaptively applied to the detail layer in regard to surround luminance.

An Adaptive Dynamic Range Linear Stretching Method for Contrast Enhancement (영상 강조를 위한 Adaptive Dynamic Range Linear Stretching 기법)

  • Kim, Yong-Min;Choi, Jae-Wan;Kim, Yong-Il
    • Korean Journal of Remote Sensing
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    • v.26 no.4
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    • pp.395-401
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    • 2010
  • Image enhancement algorithm aims to improve the visual quality of low contrast image through eliminating the noise and blurring, increasing contrast, and raising detail. This paper proposes adaptive dynamic range linear stretching(ADRLS) algorithm based on advantages of existing methods. ADRLS method is focused on generating sub-histograms of the majority through partitioning the histogram of input image and applying adaptive scale factor. Generated sub-histograms are finally applied by linear stretching(LS) algorithm. In order to validate proposed method, it is compared with LS and histogram equalization(HE) algorithm generally used. As the result, the proposed method show to improve contrast of input image and to preserve distinct characteristics of histogram by controlling excessive change of brightness.